AlisQI Connector for AI agents.
10 live capabilities
Manage quality management system results and audits through a conversational interface.
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Why people use AlisQI
AlisQI QMS Audit Automation
This Connector lets you just ask your agent to find those results for you. You get a clear summary of your quality trends and a direct way to manage your analysis sets without ever opening the dashboard.
What Vinkius changes
You get a conversational way to manage and audit your entire quality management system.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding Deviations
A technician asks for all results from last week with moisture deviations.
- Real-world use case 02
Audit Preparation
A manager asks to list all active webhooks for non-conformities to ensure the system is reporting correctly.
- Real-world use case 03
Data Entry
An operator tells the agent to store a new result for batch #502 and the agent handles the record creation.
Complete set · 10capabilities
The complete AlisQI capability set.
These are the exact actions your AI can choose when you ask it to work with AlisQI.
01—04
4 capabilities in this set.
Part of 10 available through AlisQI.
- 01 Capability
List analysis sets
Lists all analysis sets available in your instance. This helps you see the full scope of your quality data.
- 02 Capability
Get analysis set details
Retrieves specific metadata for a chosen analysis set. Use this to understand the underlying configuration of your data.
- 03 Capability
List results
Lists quality results with support for various filters. This lets you quickly find specific records based on date or status.
- 04 Capability
Get result details
Fetches the complete details for a single quality result. It provides a deep dive into specific test entries.
05—07
3 capabilities in this set.
Part of 10 available through AlisQI.
- 05 Capability
Store results
Creates new quality results or updates existing records. Use this to push new data into your system without manual entry.
- 06 Capability
List fields
Lists the dynamic fields associated with your data model. This helps you understand what data points are available for capture.
- 07 Capability
List active webhooks
Lists all active webhooks and quality event triggers. This ensures your automated alerts are still operational.
08—10
3 capabilities in this set.
Part of 10 available through AlisQI.
- 08 Capability
Get api info
Checks the current status and health of your API connection. Use this to verify that your integration is active.
- 09 Capability
List choice lists
Retrieves all available selection menus and choice lists. This lets you see the valid options for dropdowns and menus.
- 10 Capability
Get result attachments
Lists all document attachments for a specific result. Use this to find linked PDFs or images quickly.
Set up in minutes
One URL. Then ask AlisQI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AlisQI from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AlisQI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AlisQI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AlisQI URL.
- Step 03
Save and start
Save the connection and enable AlisQI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"alisqi": {
"url": "https://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AlisQI
Open Agent mode in chat and ask: "Using AlisQI, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"alisqi": {
"url": "https://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AlisQI
Ask Copilot: "Using AlisQI, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"alisqi": {
"url": "https://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AlisQI
Open Cascade and ask: "Using AlisQI, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"alisqi": {
"url": "https://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AlisQI
Ask Cline: "Using AlisQI, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add alisqi --transport http "https://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AlisQI
Ask Claude: "Using AlisQI, show me...". 10 tools are ready
Where the request belongs
Work AlisQI can move forward.
Quality managers and lab technicians who are tired of manual data entry and hunting through complex QMS dashboards to find non-conformity trends.
Quality Manager
Audits non-conformity trends and summarizes quality results for weekly reports.
Laboratory Technician
Looks up analysis requirements and enters new quality data via voice or text.
Operations Lead
Verifies QMS data integrity and audits metadata definitions during audits.
Data Engineer
Traces quality data flows and inspects API responses to ensure system health.
Build the capability set
Add more capabilities.
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KPA Flex
Manage EHS compliance. list inspections, audit employees, and search reports.
Bring your own AI
Change the model, client or framework. Keep AlisQI connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AlisQI.
The practical details behind the request, access and result.
How does AlisQI MCP help with quality audits?
It allows your AI agent to quickly pull and summarize quality results, audit trends, and check analysis set metadata, making it much faster to prepare reports.
Can I use AlisQI MCP to enter new lab data?
Yes, you can tell your agent to create or update quality results, and it will handle the data entry into your QMS for you.
How do I check my QMS webhooks?
You can ask your agent to list your active webhooks to ensure your automated triggers for things like non-conformities are still running.
Can AlisQI MCP see my document attachments?
Yes, the agent can list all document attachments linked to specific results, so you can find PDFs or images without manual searching.
Is AlisQI MCP good for data engineers?
It's great for checking API status, inspecting dynamic fields, and tracing how quality data flows through your system via conversation.
How do I find the metadata for my analysis sets?
You can simply ask your agent to get the details for a specific analysis set, and it will retrieve the technical metadata for you.
How do I find my AlisQI Bearer Token?
Log in to AlisQI, navigate to Menu > Management > Integration Hub. You can generate and manage your API tokens there. Each token inherits the permissions of the associated user account.
Is the data model the same for everyone?
No, AlisQI uses a dynamic, user-defined data model. This means field names and analysis sets are specific to your company's configuration. Use the list_analysis_sets capability to discover your unique structure.
Can I attach files to quality results via the agent?
Currently, the agent can retrieve metadata for existing attachments using the get_result_attachments capability. For uploading new files, we recommend using the AlisQI web interface or specific integration endpoints.
One connection away
Give your agent a direct line to AlisQI.
Connect AlisQI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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